| Towards Reliable Empirical Machine Unlearning Evaluation: A Game-Theoretic View | Apr 17, 2024 | Inference AttackMachine Unlearning | —Unverified | 0 |
| Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models | May 29, 2019 | Inference AttackVocal Bursts Intensity Prediction | —Unverified | 0 |
| On the Impact of Uncertainty and Calibration on Likelihood-Ratio Membership Inference Attacks | Feb 16, 2024 | Conformal PredictionInference Attack | —Unverified | 0 |
| Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning | Feb 7, 2024 | Image ClassificationInference Attack | —Unverified | 0 |
| Unlearning Clients, Features and Samples in Vertical Federated Learning | Jan 23, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation | Feb 11, 2025 | Federated LearningInference Attack | —Unverified | 0 |
| Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data | Jul 26, 2024 | AttributeGraph Sampling | —Unverified | 0 |
| Unveiling Structural Memorization: Structural Membership Inference Attack for Text-to-Image Diffusion Models | Jul 18, 2024 | Inference AttackMembership Inference Attack | —Unverified | 0 |
| Unveiling Synthetic Faces: How Synthetic Datasets Can Expose Real Identities | Oct 31, 2024 | Face RecognitionInference Attack | —Unverified | 0 |
| User-Level Membership Inference Attack against Metric Embedding Learning | Mar 4, 2022 | Inference AttackMembership Inference Attack | —Unverified | 0 |
